'
- st.markdown(image_html, unsafe_allow_html=True)
-
-
-# Left column (40% width) - Chat Interface
-with col1:
- # User input and API call - only happens on new input
- user_input = st.text_input("You:", key="user_input")
- if user_input and user_input not in [
- msg.get("user", "") for msg in st.session_state["messages"]
- ]:
- response = requests.post(
- f"{API_BASE_URL}/query",
- json={"query": user_input, "model_id": model["model_id"]},
- )
- data = response.json()
- st.session_state["route"] = data["route"]
- print(data)
- # datasets = json.loads(data["messages"][0]["content"])
-
- try:
- st.session_state["messages"] = []
- st.session_state["messages"].append({"user": user_input})
- st.session_state["messages"].append({"bot": data})
- except Exception as e:
- st.error(f"Error processing response: {str(e)}")
-
- # Display conversation and dataset buttons
- for msg_idx, message in enumerate(st.session_state["messages"]):
- if "user" in message:
- st.write(f"**You**: {message['user']}")
- else:
- st.write("**Assistant**:")
- data = message["bot"]
- try:
- match st.session_state["route"]:
- case "layerfinder":
- datasets = json.loads(data["messages"][0]["content"])
- for idx, dataset in enumerate(datasets):
- st.write(f"**Dataset {idx+1}:** {dataset['explanation']}")
- st.write(f"**URL**: {dataset['uri']}")
-
- # Generate a unique key for each button that includes both message and dataset index
- button_key = f"dataset_{msg_idx}_{idx}"
- if st.button(f"Show Dataset {idx+1}", key=button_key):
- st.session_state["selected_dataset"] = dataset[
- "tilelayer"
- ]
- print(f"changed state to: {dataset['tilelayer']}")
- case "firealert":
- for msg in data["messages"]:
- if (
- msg["name"] != "barchart-tool"
- ): # Only print non-chart messages
- st.write(msg["content"])
- case "docfinder":
- for msg in data["messages"]:
- st.write(msg["content"])
- # st.write(data["messages"][0]["content"])
- case _:
- st.write("Unable to find an agent for task")
- except Exception as e:
- st.error(f"Error processing response: {str(e)}")
-
-# Right column (60% width) - Map Visualization
-with col2:
- if st.session_state["route"] == "layerfinder":
- st.header("Map Visualization")
- m = folium.Map(location=[0, 0], zoom_start=2)
-
- if st.session_state["selected_dataset"]:
- print("yes")
- folium.TileLayer(
- tiles=st.session_state["selected_dataset"],
- attr="Global Forest Watch",
- name="Selected Dataset",
- overlay=True,
- control=True,
- ).add_to(m)
-
- folium.LayerControl().add_to(m)
- st_folium(m, width=700, height=500)
- elif st.session_state["route"] == "firealert":
- st.header("Fire Alert Statistics")
- # Display barchart from the most recent message
- if st.session_state["messages"]:
- for message in reversed(st.session_state["messages"]):
- if "bot" in message:
- data = message["bot"]
- for msg in data["messages"]:
- if msg["name"] == "barchart-tool":
- display_in_streamlit(msg["content"])
- break
- break
- else:
- st.header("Visualization")
- st.write("Select a dataset or query to view visualization")
+# # Initialize session state for messages and selected dataset
+# if "messages" not in st.session_state:
+# st.session_state["messages"] = []
+# if "selected_dataset" not in st.session_state:
+# st.session_state["selected_dataset"] = None
+# if "route" not in st.session_state:
+# st.session_state["route"] = None
+
+# col1, col2 = st.columns([4, 6])
+
+
+# def display_in_streamlit(base64_string):
+# image_html = f''
+# st.markdown(image_html, unsafe_allow_html=True)
+
+
+# # Left column (40% width) - Chat Interface
+# with col1:
+# # User input and API call - only happens on new input
+# user_input = st.text_input("You:", key="user_input")
+# if user_input and user_input not in [
+# msg.get("user", "") for msg in st.session_state["messages"]
+# ]:
+# response = requests.post(
+# f"{API_BASE_URL}/query",
+# json={"query": user_input, "model_id": model["model_id"]},
+# )
+# data = response.json()
+# st.session_state["route"] = data["route"]
+# print(data)
+# # datasets = json.loads(data["messages"][0]["content"])
+
+# try:
+# st.session_state["messages"] = []
+# st.session_state["messages"].append({"user": user_input})
+# st.session_state["messages"].append({"bot": data})
+# except Exception as e:
+# st.error(f"Error processing response: {str(e)}")
+
+# # Display conversation and dataset buttons
+# for msg_idx, message in enumerate(st.session_state["messages"]):
+# if "user" in message:
+# st.write(f"**You**: {message['user']}")
+# else:
+# st.write("**Assistant**:")
+# data = message["bot"]
+# try:
+# match st.session_state["route"]:
+# case "layerfinder":
+# datasets = json.loads(data["messages"][0]["content"])
+# for idx, dataset in enumerate(datasets):
+# st.write(f"**Dataset {idx+1}:** {dataset['explanation']}")
+# st.write(f"**URL**: {dataset['uri']}")
+
+# # Generate a unique key for each button that includes both message and dataset index
+# button_key = f"dataset_{msg_idx}_{idx}"
+# if st.button(f"Show Dataset {idx+1}", key=button_key):
+# st.session_state["selected_dataset"] = dataset[
+# "tilelayer"
+# ]
+# print(f"changed state to: {dataset['tilelayer']}")
+# case "firealert":
+# for msg in data["messages"]:
+# if (
+# msg["name"] != "barchart-tool"
+# ): # Only print non-chart messages
+# st.write(msg["content"])
+# case "docfinder":
+# for msg in data["messages"]:
+# st.write(msg["content"])
+# # st.write(data["messages"][0]["content"])
+# case _:
+# st.write("Unable to find an agent for task")
+# except Exception as e:
+# st.error(f"Error processing response: {str(e)}")
+
+# # Right column (60% width) - Map Visualization
+# with col2:
+# if st.session_state["route"] == "layerfinder":
+# st.header("Map Visualization")
+# m = folium.Map(location=[0, 0], zoom_start=2)
+
+# if st.session_state["selected_dataset"]:
+# print("yes")
+# folium.TileLayer(
+# tiles=st.session_state["selected_dataset"],
+# attr="Global Forest Watch",
+# name="Selected Dataset",
+# overlay=True,
+# control=True,
+# ).add_to(m)
+
+# folium.LayerControl().add_to(m)
+# st_folium(m, width=700, height=500)
+# elif st.session_state["route"] == "firealert":
+# st.header("Fire Alert Statistics")
+# # Display barchart from the most recent message
+# if st.session_state["messages"]:
+# for message in reversed(st.session_state["messages"]):
+# if "bot" in message:
+# data = message["bot"]
+# for msg in data["messages"]:
+# if msg["name"] == "barchart-tool":
+# display_in_streamlit(msg["content"])
+# break
+# break
+# else:
+# st.header("Visualization")
+# st.write("Select a dataset or query to view visualization")
diff --git a/nbs/07_gee_zonal_stats.ipynb b/nbs/07_gee_zonal_stats.ipynb
new file mode 100644
index 0000000..a40e9c0
--- /dev/null
+++ b/nbs/07_gee_zonal_stats.ipynb
@@ -0,0 +1,935 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Zeno zonal statistics\n",
+ "Testing for the GEE driven agents"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "*** Earth Engine *** Share your feedback by taking our Annual Developer Satisfaction Survey: https://google.qualtrics.com/jfe/form/SV_0JLhFqfSY1uiEaW?source=Init\n"
+ ]
+ }
+ ],
+ "source": [
+ "import ee\n",
+ "import google.auth\n",
+ "from google.oauth2.service_account import Credentials\n",
+ "\n",
+ "# Path to the service account JSON key file\n",
+ "service_account_key = '../ee-wri-lcl-zeno-2599d0871370.json'\n",
+ "\n",
+ "# Specify the required OAuth scopes for Earth Engine\n",
+ "scopes = ['https://www.googleapis.com/auth/earthengine',\n",
+ " 'https://www.googleapis.com/auth/cloud-platform']\n",
+ "\n",
+ "# Create credentials with the specified scopes\n",
+ "credentials = Credentials.from_service_account_file(\n",
+ " service_account_key,\n",
+ " scopes=scopes\n",
+ ")\n",
+ "\n",
+ "# Initialize Earth Engine with the service account credentials\n",
+ "ee.Initialize(credentials)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Utils\n",
+ "For printing layer metadata"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def print_meta(layer):\n",
+ " # Get all metadata as a dictionary\n",
+ " metadata = layer.getInfo()\n",
+ "\n",
+ " # Print metadata\n",
+ " print(\"Image Metadata:\")\n",
+ " for key, value in metadata.items():\n",
+ " print(f\"{key}: {value}\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### GDAM data\n",
+ "For finding boundaries"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import geopandas as gpd\n",
+ "gadm = gpd.read_file(\"/Users/tam/Downloads/gadm_410.gpkg\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Natural lands\n",
+ "As reference land cover statistics"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Image Metadata:\n",
+ "type: Image\n",
+ "bands: [{'id': 'classification', 'data_type': {'type': 'PixelType', 'precision': 'int', 'min': 0, 'max': 255}, 'dimensions': [1439601, 540001], 'crs': 'EPSG:4326', 'crs_transform': [0.00025, 0, -179.9, 0, -0.00025, 75]}]\n",
+ "version: 1725397479424399\n",
+ "id: WRI/SBTN/naturalLands/v1/2020\n",
+ "properties: {'system:time_start': 1577836800000, 'classification_class_values': [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21], 'natural_class_values': [0, 1], 'system:footprint': {'type': 'LinearRing', 'coordinates': [[-180, -90], [180, -90], [180, 90], [-180, 90], [-180, -90]]}, 'system:time_end': 1609459200000, 'natural_class_palette': ['969696', 'A8DDB5'], 'system:asset_size': 20189186972, 'classification_class_palette': ['246E24', 'B9B91E', '6BAED6', '06A285', 'FEFECC', 'ACD1E8', '589558', '093D09', 'DBDB7B', '99991A', 'D3D3D3', 'D3D3D3', 'D3D3D3', 'D3D3D3', 'D3D3D3', 'D3D3D3', 'D3D3D3', 'D3D3D3', 'D3D3D3', 'D3D3D3'], 'system:index': '2020'}\n"
+ ]
+ }
+ ],
+ "source": [
+ "natural_lands = ee.Image(\"WRI/SBTN/naturalLands/v1/2020\").select(\"classification\")\n",
+ "print_meta(natural_lands)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### MODIS landcover\n",
+ "As an alternative classification source."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Image Metadata:\n",
+ "type: Image\n",
+ "bands: [{'id': 'Land_Cover_Type_1', 'data_type': {'type': 'PixelType', 'precision': 'int', 'min': 0, 'max': 255}, 'dimensions': [86400, 43200], 'crs': 'SR-ORG:6974', 'crs_transform': [463.3127165279165, 0, -20015109.353988, 0, -463.3127165274999, 10007554.676994]}]\n",
+ "version: 1507158666650252\n",
+ "id: MODIS/051/MCD12Q1/2001_01_01\n",
+ "properties: {'Land_Cover_Type_4_class_names': ['Water', 'Evergreen Needleleaf vegetation', 'Evergreen Broadleaf vegetation', 'Deciduous Needleleaf vegetation', 'Deciduous Broadleaf vegetation', 'Annual Broadleaf vegetation', 'Annual grass vegetation', 'Non-vegetated land', 'Urban', 'Unclassified'], 'Land_Cover_Type_5_class_names': ['Water', 'Evergreen Needleleaf trees', 'Evergreen Broadleaf trees', 'Deciduous Needleleaf trees', 'Deciduous Broadleaf trees', 'Shrub', 'Grass', 'Cereal crops', 'Broad-leaf crops', 'Urban and built-up', 'Snow and ice', 'Barren or sparse vegetation', 'Unclassified'], 'Land_Cover_Type_1_class_palette': ['aec3d6', '162103', '235123', '399b38', '38eb38', '39723b', '6a2424', 'c3a55f', 'b76124', 'd99125', '92af1f', '10104c', 'cdb400', 'cc0202', '332808', 'd7cdcc', 'f7e174', '743411'], 'Land_Cover_Type_2_class_palette': ['aec3d6', '162103', '235123', '399b38', '38eb38', '39723b', '6a2424', 'c3a55f', 'b76124', 'd99125', '92af1f', 'cdb400', 'cc0202', 'f7e174', '743411'], 'Land_Cover_Type_2_class_values': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 16, 254], 'Land_Cover_Type_3_class_names': ['Water', 'Grasses/Cereal crops', 'Shrubs', 'Broadleaf crops', 'Savanna', 'Evergreen Broadleaf forest', 'Deciduous Broadleaf forest', 'Evergreen Needleleaf forest', 'Deciduous Needleleaf forest', 'Non-vegetated', 'Urban', 'Unclassified'], 'system:time_end': 1009843200000, 'Land_Cover_Type_4_class_values': [0, 1, 2, 3, 4, 5, 6, 7, 8, 254], 'Land_Cover_Type_1_class_names': ['Water', 'Evergreen Needleleaf forest', 'Evergreen Broadleaf forest', 'Deciduous Needleleaf forest', 'Deciduous Broadleaf forest', 'Mixed forest', 'Closed shrublands', 'Open shrublands', 'Woody savannas', 'Savannas', 'Grasslands', 'Permanent wetlands', 'Croplands', 'Urban and built-up', 'Cropland/Natural vegetation mosaic', 'Snow and ice', 'Barren or sparsely vegetated', 'Unclassified'], 'Land_Cover_Type_3_class_values': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 254], 'Land_Cover_Type_3_class_palette': ['aec3d6', 'cdb400', 'c3a55f', '39723b', 'd99125', '235123', '38eb38', '162103', '399b38', 'f7e174', 'cc0202', '743411'], 'Land_Cover_Type_2_class_names': ['Water', 'Evergreen Needleleaf forest', 'Evergreen Broadleaf forest', 'Deciduous Needleleaf forest', 'Deciduous Broadleaf forest', 'Mixed forest', 'Closed shrublands', 'Open shrublands', 'Woody savannas', 'Savannas', 'Grasslands', 'Croplands', 'Urban and built-up', 'Barren or sparsely vegetated', 'Unclassified'], 'Land_Cover_Type_5_class_palette': ['aec3d6', '162103', '235123', '399b38', '38eb38', 'c3a55f', '92af1f', 'cdb400', '82cd00', 'cc0202', 'd7cdcc', 'f7e174', '743411'], 'Land_Cover_Type_5_class_values': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 254], 'system:time_start': 978307200000, 'Land_Cover_Type_4_class_palette': ['aec3d6', '162103', '235123', '399b38', '38eb38', '39723b', '92af1f', 'f7e174', 'cc0202', '743411'], 'system:footprint': {'type': 'LinearRing', 'coordinates': [[-180, -90], [180, -90], [180, 90], [-180, 90], [-180, -90]]}, 'Land_Cover_Type_1_class_values': [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 254], 'system:asset_size': 1631995533, 'system:index': '2001_01_01'}\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Load MODIS land cover categories in 2001.\n",
+ "# Select the IGBP classification band.\n",
+ "modis_landcover = ee.Image('MODIS/051/MCD12Q1/2001_01_01').select('Land_Cover_Type_1')\n",
+ "\n",
+ "print_meta(modis_landcover)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### DIST Alerts\n",
+ "For the alerts themselves"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Image Metadata:\n",
+ "type: Image\n",
+ "bands: [{'id': 'b1', 'data_type': {'type': 'PixelType', 'precision': 'int', 'min': 0, 'max': 255}, 'crs': 'EPSG:4326', 'crs_transform': [1, 0, 0, 0, 1, 0]}]\n"
+ ]
+ }
+ ],
+ "source": [
+ "folder = \"projects/glad/HLSDIST/current\"\n",
+ "# // var alt_folder = \"projects/glad/HLSDIST/backend\"\n",
+ "VEGDISTSTATUS = ee.ImageCollection(folder+\"/VEG-DIST-STATUS\").mosaic()\n",
+ "VEGDISTDATE = ee.ImageCollection(folder+\"/VEG-DIST-DATE\").mosaic()\n",
+ "VEGDISTDUR = ee.ImageCollection(folder+\"/VEG-DIST-DUR\").mosaic()\n",
+ "VEGANOMMAX = ee.ImageCollection(folder+\"/VEG-ANOM-MAX\").mosaic()\n",
+ "VEGDISTCONF = ee.ImageCollection(folder+\"/VEG-DIST-CONF\").mosaic()\n",
+ "VEGDISTCOUNT = ee.ImageCollection(folder+\"/VEG-DIST-COUNT\").mosaic()\n",
+ "VEGIND = ee.ImageCollection(folder+\"/VEG-IND\").mosaic()\n",
+ "VEGANOM = ee.ImageCollection(folder+\"/VEG-ANOM\").mosaic()\n",
+ "VEGHIST = ee.ImageCollection(folder+\"/VEG-HIST\").mosaic()\n",
+ "VEGLASTDATE = ee.ImageCollection(folder+\"/VEG-LAST-DATE\").mosaic()\n",
+ "\n",
+ "GENDISTSTATUS = ee.ImageCollection(folder+\"/GEN-DIST-STATUS\").mosaic()\n",
+ "GENDISTDATE = ee.ImageCollection(folder+\"/GEN-DIST-DATE\").mosaic()\n",
+ "GENDISTDUR = ee.ImageCollection(folder+\"/GEN-DIST-DUR\").mosaic()\n",
+ "GENANOMMAX = ee.ImageCollection(folder+\"/GEN-ANOM-MAX\").mosaic()\n",
+ "GENDISTCONF = ee.ImageCollection(folder+\"/GEN-DIST-CONF\").mosaic()\n",
+ "GENDISTCOUNT = ee.ImageCollection(folder+\"/GEN-DIST-COUNT\").mosaic()\n",
+ "GENANOM = ee.ImageCollection(folder+\"/GEN-ANOM\").mosaic()\n",
+ "GENLASTDATE = ee.ImageCollection(folder+\"/GEN-LAST-DATE\").mosaic()\n",
+ "\n",
+ "print_meta(VEGDISTSTATUS)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Select GADM area\n",
+ "This will come from the user eventually, now its a random GADM."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "| \n", + " | UID | \n", + "GID_0 | \n", + "NAME_0 | \n", + "VARNAME_0 | \n", + "GID_1 | \n", + "NAME_1 | \n", + "VARNAME_1 | \n", + "NL_NAME_1 | \n", + "ISO_1 | \n", + "HASC_1 | \n", + "... | \n", + "ENGTYPE_5 | \n", + "GOVERNEDBY | \n", + "SOVEREIGN | \n", + "DISPUTEDBY | \n", + "REGION | \n", + "VARREGION | \n", + "COUNTRY | \n", + "CONTINENT | \n", + "SUBCONT | \n", + "geometry | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "1 | \n", + "AFG | \n", + "Afghanistan | \n", + "\n", + " | AFG.1_1 | \n", + "Badakhshan | \n", + "Badahšan | \n", + "\n", + " | \n", + " | AF.BD | \n", + "... | \n", + "\n", + " | \n", + " | Afghanistan | \n", + "\n", + " | \n", + " | \n", + " | Afghanistan | \n", + "Asia | \n", + "\n", + " | MULTIPOLYGON (((71.41149 36.55717, 71.40954 36... | \n", + "
| 1 | \n", + "2 | \n", + "AFG | \n", + "Afghanistan | \n", + "\n", + " | AFG.1_1 | \n", + "Badakhshan | \n", + "Badahšan | \n", + "\n", + " | \n", + " | AF.BD | \n", + "... | \n", + "\n", + " | \n", + " | Afghanistan | \n", + "\n", + " | \n", + " | \n", + " | Afghanistan | \n", + "Asia | \n", + "\n", + " | MULTIPOLYGON (((71.2762 38.00465, 71.27578 38.... | \n", + "
| 2 | \n", + "3 | \n", + "AFG | \n", + "Afghanistan | \n", + "\n", + " | AFG.1_1 | \n", + "Badakhshan | \n", + "Badahšan | \n", + "\n", + " | \n", + " | AF.BD | \n", + "... | \n", + "\n", + " | \n", + " | Afghanistan | \n", + "\n", + " | \n", + " | \n", + " | Afghanistan | \n", + "Asia | \n", + "\n", + " | MULTIPOLYGON (((70.78272 37.27678, 70.78635 37... | \n", + "
| 3 | \n", + "4 | \n", + "AFG | \n", + "Afghanistan | \n", + "\n", + " | AFG.1_1 | \n", + "Badakhshan | \n", + "Badahšan | \n", + "\n", + " | \n", + " | AF.BD | \n", + "... | \n", + "\n", + " | \n", + " | Afghanistan | \n", + "\n", + " | \n", + " | \n", + " | Afghanistan | \n", + "Asia | \n", + "\n", + " | MULTIPOLYGON (((71.41149 36.55717, 71.40091 36... | \n", + "
| 4 | \n", + "5 | \n", + "AFG | \n", + "Afghanistan | \n", + "\n", + " | AFG.1_1 | \n", + "Badakhshan | \n", + "Badahšan | \n", + "\n", + " | \n", + " | AF.BD | \n", + "... | \n", + "\n", + " | \n", + " | Afghanistan | \n", + "\n", + " | \n", + " | \n", + " | Afghanistan | \n", + "Asia | \n", + "\n", + " | MULTIPOLYGON (((70.71236 37.07621, 70.73582 37... | \n", + "
| ... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
| 356503 | \n", + "356504 | \n", + "ZWE | \n", + "Zimbabwe | \n", + "\n", + " | ZWE.10_1 | \n", + "Midlands | \n", + "\n", + " | \n", + " | ZW-MI | \n", + "ZW.MI | \n", + "... | \n", + "\n", + " | \n", + " | Zimbabwe | \n", + "\n", + " | \n", + " | \n", + " | Zimbabwe | \n", + "Africa | \n", + "\n", + " | MULTIPOLYGON (((29.75637 -20.33492, 29.75664 -... | \n", + "
| 356504 | \n", + "356505 | \n", + "ZWE | \n", + "Zimbabwe | \n", + "\n", + " | ZWE.10_1 | \n", + "Midlands | \n", + "\n", + " | \n", + " | ZW-MI | \n", + "ZW.MI | \n", + "... | \n", + "\n", + " | \n", + " | Zimbabwe | \n", + "\n", + " | \n", + " | \n", + " | Zimbabwe | \n", + "Africa | \n", + "\n", + " | MULTIPOLYGON (((29.84425 -20.10055, 29.84955 -... | \n", + "
| 356505 | \n", + "356506 | \n", + "ZWE | \n", + "Zimbabwe | \n", + "\n", + " | ZWE.10_1 | \n", + "Midlands | \n", + "\n", + " | \n", + " | ZW-MI | \n", + "ZW.MI | \n", + "... | \n", + "\n", + " | \n", + " | Zimbabwe | \n", + "\n", + " | \n", + " | \n", + " | Zimbabwe | \n", + "Africa | \n", + "\n", + " | MULTIPOLYGON (((30.03103 -20.27994, 30.03089 -... | \n", + "
| 356506 | \n", + "356507 | \n", + "ZWE | \n", + "Zimbabwe | \n", + "\n", + " | ZWE.10_1 | \n", + "Midlands | \n", + "\n", + " | \n", + " | ZW-MI | \n", + "ZW.MI | \n", + "... | \n", + "\n", + " | \n", + " | Zimbabwe | \n", + "\n", + " | \n", + " | \n", + " | Zimbabwe | \n", + "Africa | \n", + "\n", + " | MULTIPOLYGON (((30.08165 -20.19866, 30.0812 -2... | \n", + "
| 356507 | \n", + "356508 | \n", + "ZWE | \n", + "Zimbabwe | \n", + "\n", + " | ZWE.10_1 | \n", + "Midlands | \n", + "\n", + " | \n", + " | ZW-MI | \n", + "ZW.MI | \n", + "... | \n", + "\n", + " | \n", + " | Zimbabwe | \n", + "\n", + " | \n", + " | \n", + " | Zimbabwe | \n", + "Africa | \n", + "\n", + " | MULTIPOLYGON (((30.18608 -20.07877, 30.18606 -... | \n", + "
356508 rows à 53 columns
\n", + "| \n", + " | geometry | \n", + "count | \n", + "label | \n", + "
|---|---|---|---|
| 0 | \n", + "POLYGON ((-62.13985 -13.7805, -62.13087 -13.78... | \n", + "1 | \n", + "2 | \n", + "
| 1 | \n", + "POLYGON ((-62.13985 -14.13983, -62.13087 -14.1... | \n", + "1 | \n", + "2 | \n", + "
| 2 | \n", + "POLYGON ((-62.13087 -13.76253, -62.12188 -13.7... | \n", + "1 | \n", + "2 | \n", + "
| 3 | \n", + "POLYGON ((-62.13985 -13.92423, -62.12188 -13.9... | \n", + "16 | \n", + "2 | \n", + "
| 4 | \n", + "POLYGON ((-62.13087 -14.04101, -62.12188 -14.0... | \n", + "1 | \n", + "2 | \n", + "
| ... | \n", + "... | \n", + "... | \n", + "... | \n", + "
| 2182 | \n", + "POLYGON ((-59.52575 -16.43951, -59.51677 -16.4... | \n", + "2 | \n", + "3 | \n", + "
| 2183 | \n", + "POLYGON ((-59.53474 -16.38561, -59.50779 -16.3... | \n", + "6 | \n", + "2 | \n", + "
| 2184 | \n", + "POLYGON ((-59.50779 -16.29578, -59.4988 -16.29... | \n", + "4 | \n", + "2 | \n", + "
| 2185 | \n", + "POLYGON ((-59.50779 -16.30477, -59.4988 -16.30... | \n", + "2 | \n", + "15 | \n", + "
| 2186 | \n", + "POLYGON ((-59.50779 -16.3407, -59.4988 -16.340... | \n", + "7 | \n", + "15 | \n", + "
2187 rows à 3 columns
\n", + "